semcloud
R package to process token-level clouds and get them ready for NephoVis
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (16.2%) to scientific vocabulary
Last synced: 10 months ago
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Repository
R package to process token-level clouds and get them ready for NephoVis
Basic Info
- Host: GitHub
- Owner: montesmariana
- License: gpl-3.0
- Language: R
- Default Branch: main
- Homepage: https://montesmariana.github.io/semcloud
- Size: 9.44 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 2
- Open Issues: 3
- Releases: 1
Created almost 5 years ago
· Last pushed about 4 years ago
Metadata Files
Readme
License
Citation
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# semcloud
[](https://zenodo.org/badge/latestdoi/400257454)
The goal of semcloud is to process the output of the Python Workflow of
the Nephological Semantics project
(combining [nephosem](https://qlvl.github.io/nephosem)
and [semasioFlow](https://montesmariana.github.io/semasioFlow))
and prepare it to be
used with [NephoVis](https://qlvl.github.io/NephoVis).
## Installation
You can install the github development version with:
``` r
remotes::install_github("montesmariana/semcloud")
```
## Example
Instructions on how to go through the workflow can be found in a handful of
vignettes, available in the Articles section or by calling `vignette()`:
- `vignette('processClouds')` explains the steps from the output of
semasioFlow to the input of NephoVis;
- `vignette('weightConcordance')` shows how to create tailored contexts for Nephovis;
- `vignette('HDBSCAN')` shows how to implement HDBSCAN clustering on the models
and use the output to classify clouds (clusters).
To build vignettes when installing from GitHub run:
```r
remotes::install_github("montesmariana/semcloud", build_vignettes = T)
```
## License
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see .
Owner
- Name: Mariana Montes
- Login: montesmariana
- Kind: user
- Location: Belgium
- Company: KU Leuven
- Website: www.marianamontes.me
- Twitter: roblerobusto
- Repositories: 7
- Profile: https://github.com/montesmariana
Doctor in Linguistics. Learning some Python, R and Javascript.
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Montes" given-names: "Mariana" orcid: "https://orcid.org/0000-0002-3869-3207" title: "semcloud" version: 0.1.0 date-released: 2021-10-25 url: "https://github.com/montesmariana/semcloud"
GitHub Events
Total
- Pull request event: 1
Last Year
- Pull request event: 1
Issues and Pull Requests
Last synced: about 1 year ago